New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

[TOPIC] Personalize Your E-commerce Interactions To Drive Revenues #58

Closed

johnlafleur opened this issue Jun 23, 2021 · 0 comments

Labels

idea

Collaborator

johnlafleur commented Jun 23, 2021 •

edited

Loading

Source: Amplitude
Destination: Google BigQuery, Twilio (after creating segments on reverse ETL tool)
Reverse ETL tool: Hightouch / Census

For a business that runs on a freemium ‘try-before-you-buy’ model, identifying ways to optimise the user experience and convert them to a purchase is business critical.
Consolidation of data before running ML model to understand which items would be most appealing to each customer segment
Leverage a reverse ETL tool to push the data back to Twilio and send personalized emails and texts

johnlafleur added the idea label

arimbr closed this as completed

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment